Logo for the TidyTuesday project, represented by
the word TidyTuesday over a messy splash of black paint
About TidyTuesday
TidyTuesday is a weekly social data project hosted and
organized by the R4DS Data Science community. The overarching goal of
TidyTuesday is to make learning to work with data easier by providing
real-world datasets.
New data are posted every Monday morning. You can use these data to
create a visualization, a model, a shiny app, or some other piece of
data-science-related output, using R or another programming language.
For more information on TidyTuesday, please see the rfordatascience/tidytuesday
github repository. In this repository, I’ve combined both a number
of Tidy Tuesday projects and a few data visualizations I made based on
personal interest (e.g., based on data from academic publications I
found interesting, or from other data sources).
Data Viz Examples
Figure illustrating the percentage of annual
statewide votes for the US House of Representatives, by party
(1976-2006)
Barchart showing the aspects of their digital
health records that Austrailian survey respondents found helpful
Faceted barchart describing characteristics of
clinical studies for FDA-authorized digital therapeutic products
Line chart showing cumulative per capita
confirmed monkeypox cases, per country
Line chart showing global life-expectancy data
from 1950-present, per country
Boxplot showing average response times for
ambulances vs. drones in a prospective observational study
Dotplot showing levels of educational attainment
in English towns, by town size and income level
Map showing the % of the population, per county,
that has broadband internet access
Linechart showing the number of World Heritage
Sites in Scandanavian Countries in 2004 and 2022
